Blind source unmixing in multi-spectral optoacoustic tomography

被引:111
作者
Glatz, Juergen [1 ]
Deliolanis, Nikolaos C.
Buehler, Andreas
Razansky, Daniel
Ntziachristos, Vasilis
机构
[1] Tech Univ Munich, Chair Biol Imaging, Munich, Germany
关键词
HIGH-RESOLUTION; MICROSCOPY; PCA;
D O I
10.1364/OE.19.003175
中图分类号
O43 [光学];
学科分类号
070207 [光学];
摘要
Multispectral optoacoustic (photoacoustic) tomography (MSOT) is a hybrid modality that can image through several millimeters to centimeters of diffuse tissues, attaining resolutions typical of ultrasound imaging. The method can further identify tissue biomarkers by decomposing the spectral contributions of different photo-absorbing molecules of interest. In this work we investigate the performance of blind source unmixing methods and spectral fitting approaches in decomposing the contributions of fluorescent dyes from the tissue background, based on MSOT measurements in mice. We find blind unmixing as a promising method for accurate MSOT decomposition, suitable also for spectral unmixing in fluorescence imaging. We further demonstrate its capacity with temporal unmixing on real-time MSOT data obtained in-vivo for enhancing the visualization of absorber agent flow in the mouse vascular system. (C) 2011 Optical Society of America
引用
收藏
页码:3175 / 3184
页数:10
相关论文
共 39 条
[1]
[Anonymous], [No title captured]
[2]
[Anonymous], 1993, ESIMATION THEORY
[3]
Whole-body three-dimensional optoacoustic tomography system for small animals [J].
Brecht, Hans-Peter ;
Su, Richard ;
Fronheiser, Matthew ;
Ermilov, Sergey A. ;
Conjusteau, Andre ;
Oraevsky, Alexander A. .
JOURNAL OF BIOMEDICAL OPTICS, 2009, 14 (06)
[4]
Video rate optoacoustic tomography of mouse kidney perfusion [J].
Buehler, Andreas ;
Herzog, Eva ;
Razansky, Daniel ;
Ntziachristos, Vasilis .
OPTICS LETTERS, 2010, 35 (14) :2475-2477
[5]
SUBSURFACE IMAGING WITH PHOTOACOUSTICS [J].
BUSSE, G ;
ROSENCWAIG, A .
APPLIED PHYSICS LETTERS, 1980, 36 (10) :815-816
[6]
Cichocki A., 2009, NONNEGATIVE MATRIX T
[7]
ON PORTFOLIO SELECTION UNDER EXTREME RISK MEASURE: THE HEAVY-TAILED ICA MODEL [J].
Clemencon, Stephan ;
Slim, Skander .
INTERNATIONAL JOURNAL OF THEORETICAL AND APPLIED FINANCE, 2007, 10 (03) :449-474
[8]
Recognizing faces with PCA and ICA [J].
Draper, BA ;
Baek, K ;
Bartlett, MS ;
Beveridge, JR .
COMPUTER VISION AND IMAGE UNDERSTANDING, 2003, 91 (1-2) :115-137
[9]
Photoacoustic doppler effect from flowing small light-absorbing particles [J].
Fang, Hui ;
Maslov, Konstantin ;
Wang, Lihong V. .
PHYSICAL REVIEW LETTERS, 2007, 99 (18)
[10]
Independent component analysis for artefact separation in astrophysical images [J].
Funaro, M ;
Oja, E ;
Valpola, H .
NEURAL NETWORKS, 2003, 16 (3-4) :469-478